TY - CHAP

T1 - Multi-view hidden markov perceptrons

AU - Brefeld, Ulf

AU - Büscher, Christoph

AU - Scheffer, Tobias

PY - 2005

Y1 - 2005

N2 - Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other tasks of discrimination. However, semi-supervised learning mechanisms that utilize inexpensive unlabeled sequences in addition to few labeled sequences – such as the Baum-Welch algorithm – are available only for generative models. The multi-view approach is based on the principle of maximizing the consensus among multiple independent hypotheses; we develop this principle into a semisupervised hidden Markov perceptron algorithm. Experiments reveal that the resulting procedure utilizes unlabeled data effectively and discriminates more accurately than its purely supervised counterparts.

AB - Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other tasks of discrimination. However, semi-supervised learning mechanisms that utilize inexpensive unlabeled sequences in addition to few labeled sequences – such as the Baum-Welch algorithm – are available only for generative models. The multi-view approach is based on the principle of maximizing the consensus among multiple independent hypotheses; we develop this principle into a semisupervised hidden Markov perceptron algorithm. Experiments reveal that the resulting procedure utilizes unlabeled data effectively and discriminates more accurately than its purely supervised counterparts.

KW - Informatics

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=84874002288&partnerID=8YFLogxK

M3 - Article in conference proceedings

AN - SCOPUS:84874002288

SP - 134

EP - 138

BT - Lernen, Wissensentdeckung und Adaptivitat, LWA 2005

A2 - Bauer, Mathias

A2 - Brandherm, Boris

A2 - Fürnkranz, Johannes

A2 - Grieser, Gunter

A2 - Hotho, Andreas

A2 - Jedlitschka, Andreas

A2 - Kröner, Alexander

PB - Gesellschaft für Informatik e.V.

CY - Saarbrücken

T2 - Lernen, Wissensentdeckung und Adaptivitat, LWA 2005

Y2 - 10 October 2005 through 12 October 2005

ER -